Data & AI Associate (Data & AI Office), Economics Div - Traineeship [GRIT@Gov]

The Data & AI Associate traineeship is a 6-month programme for recent fresh graduates keen to apply artificial intelligence and data analytics to real-world public sector challenges. You will join MTI Economics Division – Data & AI Office, working alongside Data Scientists and Data Analysts to build AI and data tools that enhance MTI’s productivity and transform the way we work. This role emphasises hands-on AI development, with opportunities to gain exposure to the entire lifecycle of AI and data products – from problem scoping and data preparation to prototyping, deployment, and user adoption.

1. AI Development and Integration o Assist in developing AI applications (e.g., chatbots, intelligent assistants, statistics retrieval systems). o Contribute to workflows and pipelines that integrate AI models into MTI’s digital ecosystem. o Support pilot testing and iteration with end-users to improve app usability and performance. o Support the design, training, and evaluation of machine learning and generative AI models. o Experiment with natural language processing, retrieval systems, and prediction algorithms for MTI use cases. o Test, validate, and refine model outputs to ensure accuracy, fairness, and robustness. 2. Data Preparation and Analysis o Collect, clean, and transform structured and unstructured datasets for model training and testing. o Conduct exploratory data analysis to generate insights and features for data products. o Build dashboards and reports that complement AI model outputs. 3. Applied Research and Collaboration o Scan and experiment with emerging AI tools, libraries, and techniques, assessing their applicability to MTI’s context. o Work with Data Scientists and Engineers to troubleshoot, optimise, and scale models. o Partner with MTI divisions to translate policy or business problems into AI-enabled solutions. o Document methodologies, experiments, and lessons learnt to strengthen AI knowledge base.

• Tertiary education with a degree in Computer Science, Data Science, AI, Statistics, or related disciplines. • Technical Skills: o Proficiency in Python with some familiarity with cloud deployments (especially on AWS cloud). o Familiarity with SQL and data wrangling. o Understanding of machine learning concepts and generative AI / Large Language Models (LLMs). o Exposure to Business Intelligence tools (e.g., Tableau, AWS QuickSight) will be an added advantage. • Soft Skills: o Strong analytical and problem-solving mindset. o Ability to learn quickly and adapt to evolving technologies. o Strong communication skills; comfortable working with both technical and non-technical stakeholders. o Collaborative team player.